Recently, the trend is moving in the direction of applying queries in a more human-centred convention through designed application frameworks [1]}, [2]}, [3]} and interactive tools [4]}, [5]}, compared to the algorithm-centred application. These frameworks define the selection and evaluation of the different IML methods not only by technical but also by use-case-specific means. They guide the human stakeholder \(H\)  to select a suitable query \(Q\)  for their question and bridge the gap between method-based explanation and actionable conclusion. Besides technical maps, these frameworks often leverage psychological-based behavioural templates to minimize the possibility of miscommunication, e.g., between physician and clinical decision system [6]} and define how \(H\)  can optimally leverage an explanation \(E\)  to achieve a causal statement \(C\) . Interactive tools utilize the fact that different representations (visual, verbal, etc.) of the same explanation can increase and evaluate the usefulness to different stakeholders. The evaluation of queries is primarily performed through metrics to evaluate faithfulness [7]} and human-based experiments to evaluate usefulness [8]}, [9]}.
